Markov Chains and Stochastic Stability

Meyn, Sean P.; Tweedie, Richard L.

ISBN 10: 0387198326 / ISBN 13: 9780387198323

Published by Springer Verlag, Secaucus, New Jersey, U.S.A., 1996

About this Item

red black and white cover, illustrated with 24 figures and many mathematical equations, developed for graduate level courses in engineering and operations research, 548 pages. indexed by symbols and subjects.

Seller Inventory # 006014

Bibliographic Details

• Title: Markov Chains and Stochastic Stability
• Publisher: Springer Verlag, Secaucus, New Jersey, U.S.A.
• Publication Date: 1996
• Language: English
• ISBN 10: 0387198326
• ISBN 13: 9780387198323
• Binding: Hardcover
• Condition: Fine
• Dust Jacket Condition: No Jacket
• Seller catalogs:
  • Collection

About this title

Synopsis

Markov Chains and Stochastic Stability is part of the Communications and Control Engineering Series ( CCES ) edited by Professors B.W. Dickinson, E.D. Sontag, M. Thoma, A. Fettweis, J.L. Massey and J.W. Modestino. The area of Markov chain theory and application has matured over the past 20 years into something more accessible and complete. It is of increasing interest and importance. This publication deals with the action of Markov chains on general state spaces. It discusses the theories and the use to be gained, concentrating on the areas of engineering, operations research and control theory. Throughout, the theme of stochastic stability and the search for practical methods of verifying such stability, provide a new and powerful technique. This does not only affect applications but also the development of the theory itself. The impact of the theory on specific models is discussed in detail, in order to provide examples as well as to demonstrate the importance of these models. Markov Chains and Stochastic Stability can be used as a textbook on applied Markov chain theory, provided that one concentrates on the main aspects only. It is also of benefit to graduate students with a standard background in countable space stochastic models. Finally, the book can serve as a research resource and active tool for practitioners.

Book Description

New up-to-date edition of this influential classic on Markov chains in general state spaces. Proofs are rigorous and concise, the range of applications is broad and knowledgeable, and key ideas are accessible to practitioners with limited mathematical background. New commentary by Sean Meyn, including updated references, reflects developments since 1996.